Yong Liu - RankMe

141 papers A 5B 25C 5Misc 4Journal 27Unranked 56

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Cost-Sensitive Road Obstacle Detection for Low-Cost Autonomous Vehicles. MobileCloud Kai Su, Qiangfu Zhao, Yoichi Tomioka, Yong Liu
2024	J	`jnl`	Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. IEEE Access Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2024	Misc	`conf`	SMOTE-CHL-LightGBM: An Enhanced LightGBM for Credit Card Fraud Detection. ICMLC Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2024	J	`jnl`	YOLIC: An efficient method for object localization and classification on edge devices. Image Vis. Comput. Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu
2023	J	`jnl`	4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access Menglei Li, Hongbo Chen, Yong Liu, Qiangfu Zhao
2023	J	`jnl`	Cost Harmonization LightGBM-Based Stock Market Prediction. IEEE Access Xiaosong Zhao, Yong Liu, Qiangfu Zhao
2023	—	`conf`	Performance and Cost Balancing in Vision Transformer-Based Image Captioning. ASSE Yan Lyu, Yong Liu, Qiangfu Zhao
2023	J	`jnl`	YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices. CoRR Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong Liu
2022	—	`conf`	End-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection. RACS Yan Lyu, Qiangfu Zhao, Yong Liu
2022	—	`ed.`	Exploration of Novel Intelligent Optimization Algorithms - 12th International Symposium, ISICA 2021, Guangzhou, China, November 20-21, 2021, Revised Selected Papers ISICA Kangshun Li, Yong Liu, Wenxiang Wang
2021	J	`jnl`	CMNN: Coupled Modular Neural Network. IEEE Access Intisar Md Chowdhury, Qiangfu Zhao, Kai Su, Yong Liu
2020	—	`ed.`	Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 1 ICNC-FSKD Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
2020	—	`ed.`	Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019 - Volume 2 ICNC-FSKD Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
2020	—	`ed.`	Artificial Intelligence Algorithms and Applications - 11th International Symposium, ISICA 2019, Guangzhou, China, November 16-17, 2019, Revised Selected Papers ISICA Kangshun Li, Wei Li, Hui Wang, Yong Liu
2019	—	`conf`	Awareness Learning for Balancing Performance and Diversity in Neural Network Ensembles. ICNC-FSKD Yong Liu
2019	—	`conf`	Learning Target Selection in Creating Negatively Correlated Neural Networks. ISICA Yong Liu
2018	—	`ed.`	Computational Intelligence and Intelligent Systems - 9th International Symposium, ISICA 2017, Guangzhou, China, November 18-19, 2017, Revised Selected Papers, Part I ISICA (1) Kangshun Li, Wei Li, Zhangxing Chen, Yong Liu
2018	—	`ed.`	Computational Intelligence and Intelligent Systems - 9th International Symposium, ISICA 2017, Guangzhou, China, November 18-19, 2017, Revised Selected Papers, Part II ISICA (2) Kangshun Li, Wei Li, Zhangxing Chen, Yong Liu
2018	—	`conf`	Learning Targets for Building Cooperation Awareness in Ensemble Learning. iCAST Yong Liu
2018	—	`conf`	Negative Correlation Learning with Multiple Target Values. ICNC-FSKD Yong Liu
2017	—	`ed.`	13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, Guilin, China, July 29-31, 2017 ICNC-FSKD Yong Liu, Liang Zhao, Guoyong Cai, Guoqing Xiao, Kenli Li, Lipo Wang
2017	J	`jnl`	Applications in heterogeneous parallel and distributed environment. Concurr. Comput. Pract. Exp. Kenli Li, Lipo Wang, Yong Liu
2017	—	`conf`	Bidirectional Negative Correlation Learning. ISICA (1) Yong Liu
2017	—	`conf`	Build correlation awareness in negative correlation learning. ICNC-FSKD Yong Liu
2017	—	`conf`	Computational awareness for learning neural network ensembles. ICIA Yong Liu
2017	J	`jnl`	Low-Cost and Steady On-Line Retraining of MLP with Guide Data. J. Inf. Process. Yuya Kaneda, Qiangfu Zhao, Yong Liu
2017	—	`conf`	Random separation learning for neural network ensembles. CISP-BMEI Yong Liu
2016	—	`ed.`	Computational Intelligence and Intelligent Systems - 7th International Symposium, ISICA 2015, Guangzhou, China, November 21-22, 2015, Revised Selected Papers ISICA Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione
2016	—	`conf`	Control of the error signals by self-awareness in committee machines. CISP-BMEI Yong Liu
2016	B	`conf`	DBM vs ELM: A study on effective training of compact MLP. SMC Masato Hashimoto, Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	—	`conf`	Enforcing negativity in negative correlation learning. ICIA Yong Liu
2016	J	`jnl`	Error Awareness by Lower and Upper Bounds in Ensemble Learning. Int. J. Pattern Recognit. Artif. Intell. Yong Liu
2016	B	`conf`	Guide data generation for on-line learning of DBM-initialized MLP. SMC Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	B	`conf`	How to confine errors in negative correlation learning. IJCNN Yong Liu
2016	Misc	`conf`	Learning self-awareness in committee machines. ICMLC Yong Liu
2016	—	`conf`	Negative selection in negative correlation learning. ICNC-FSKD Yong Liu
2016	—	`conf`	Negative selections in ensemble learning. SSCI Yong Liu
2016	—	`conf`	On-Line training with guide data: Shall we select the guide data randomly or based on cluster centers? SSCI Yuya Kaneda, Qiangfu Zhao, Yong Liu
2016	J	`jnl`	Preface. Int. J. Pattern Recognit. Artif. Intell. Kenli Li, Yong Liu, Maozhen Li
2015	B	`conf`	A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu
2015	—	`conf`	Bounded learning for neural network ensembles. ICIA Yong Liu, Qiangfu Zhao, Yan Pei
2015	Misc	`conf`	Error awareness by lower and upper bounds in ensemble learning. ICNC Yong Liu, Qiangfu Zhao, Yan Pei
2015	J	`jnl`	Improving the Performance of the Decision Boundary Making Algorithm via Outlier Detection. J. Inf. Process. Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2015	—	`conf`	Negative Correlation Learning with Difference Learning. ISICA Yong Liu
2015	—	`conf`	Strategies for determining effective step size of the backpropagation algorithm for on-line learning. SoCPaR Yuya Kaneda, Qiangfu Zhao, Yong Liu, Yan Pei
2014	B	`conf`	A comprehensive analysis on optimization performance of chaotic evolution and its parameter distribution. SMC Yan Pei, Hideyuki Takagi, Qiangfu Zhao, Yong Liu
2014	Misc	`conf`	Control of correlation in negative correlation learning. ICNC Yong Liu, Qiangfu Zhao, Yan Pei
2014	C	`conf`	Ensemble Learning with Correlation-Based Penalty. DASC Yong Liu, Qiangfu Zhao, Yan Pei
2014	B	`conf`	From low negative correlation learning to high negative correlation learning. IJCNN Yong Liu, Qiangfu Zhao, Yan Pei
2014	—	`conf`	Improving performance of decision boundary making with support vector machine based outlier detection. ISIC Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2014	J	`jnl`	Multi-strategy ensemble artificial bee colony algorithm. Inf. Sci. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jeng-Shyang Pan
2014	B	`conf`	Study on the effect of learning parameters on decision boundary making algorithm. SMC Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu
2013	J	`jnl`	A Study on the Effect of Learning Parameters for Inducing Compact SVM. J. Adv. Comput. Intell. Intell. Informatics Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	—	`conf`	An intelligent state machine towards task-oriented search support. CYBCONF Neil Y. Yen, Qiangfu Zhao, Yong Liu, Joseph C. Tsai
2013	B	`conf`	Feature Point Detection in Image Morphing Based Steganography. SMC Qiangfu Zhao, Yutaro Minakawa, Yong Liu, Neil Y. Yen
2013	—	`conf`	Inducing high performance neural networks based on an improved decision boundary making algorithm. iCAST/UMEDIA Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	B	`conf`	Induction of High Performance Neural Networks Based on Decision Boundary Making. SMC Yuya Kaneda, Qiangfu Zhao, Yong Liu, Neil Y. Yen
2013	—	`conf`	Make decision boundary smoother by transition learning. iCAST/UMEDIA Yong Liu, Qiangfu Zhao, Neil Y. Yen
2013	B	`conf`	Transition Learning between Balanced Ensemble Learning and Negative Correlation Learning. SMC Yong Liu, Qiangfu Zhao, Neil Y. Yen
2013	C	`conf`	Transition Learning by Negative Correlation Learning. ICCC Yong Liu
2013	—	`conf`	Transition learning for creating diverse neural networks. BMEI Yong Liu
2012	—	`conf`	Balancing Ensemble Learning between Known and Unknown Data. ISICA Yong Liu
2012	—	`ed.`	Computational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Wuhan, China, October 27-28, 2012. Proceedings ISICA Zhenhua Li, Xiang Li, Yong Liu, Zhihua Cai
2012	—	`conf`	Constraint awareness in balanced ensemble learning. iCAST Yong Liu
2012	B	`conf`	New discoveries in balanced ensemble learning. IJCNN Yong Liu
2012	B	`conf`	Variation aware control for reliability. SMC Yong Liu, Qiangfu Zhao, Neil Y. Yen
2011	—	`ed.`	Advances in Computation and Intelligence - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings ISICA (1) Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu
2011	J	`jnl`	Enhancing particle swarm optimization using generalized opposition-based learning. Inf. Sci. Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca
2011	—	`conf`	Target shift awareness in balanced ensemble learning. iCAST Yong Liu
2010	J	`jnl`	A Simple and Fast Particle Swarm Optimization. J. Multiple Valued Log. Soft Comput. Hui Wang, Zhijian Wu, Sanyou Zeng, Dazhi Jiang, Yong Liu, Jing Wang, Xianqiang Yang
2010	B	`conf`	Are long jumps of Cauchy mutations effective in fast evolutionary programming? IEEE Congress on Evolutionary Computation Yong Liu
2010	—	`ed.`	Computational Intelligence and Intelligent Systems - 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings ISICA (2) Zhihua Cai, Chengyu Hu, Zhuo Kang, Yong Liu
2010	—	`conf`	Measurements in Fast Evolutionary Programming. ISICA (2) Yong Liu
2009	—	`ed.`	Advances in Computation and Intelligence, 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009, Proceedings ISICA Zhihua Cai, Zhenhua Li, Zhuo Kang, Yong Liu
2009	—	`conf`	Balanced Learning for Ensembles with Small Neural Networks. ISICA Yong Liu
2009	—	`conf`	Space transformation search: a new evolutionary technique. GEC Summit Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen
2008	—	`conf`	A Balanced Ensemble Learning with Adaptive Error Functions. ISICA Yong Liu
2008	—	`ed.`	Advances in Computation and Intelligence, Third International Symposium, ISICA 2008, Wuhan, China, December 19-21, 2008 Proceedings ISICA Lishan Kang, Zhihua Cai, Xuesong Yan, Yong Liu
2008	B	`conf`	An improved Particle Swarm Optimization with adaptive jumps. IEEE Congress on Evolutionary Computation Hui Wang, Yong Liu, Zhijian Wu, Hui Sun, Sanyou Zeng, Lishan Kang
2008	—	`conf`	Correlation between Mutations and Self-adaptation in Evolutionary Programming. ISICA Yong Liu
2008	—	`conf`	Particle Swarm Optimization with a Novel Multi-Parent Crossover Operator. ICNC (7) Hui Wang, Zhijian Wu, Yong Liu, Sanyou Zeng
2008	B	`conf`	Reduction of difference among trained neural networks by re-learning. IJCNN Yong Liu
2007	—	`conf`	A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy. ISICA Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui Wang
2007	—	`conf`	A Hybrid Particle Swarm Algorithm with Cauchy Mutation. SIS Hui Wang, Yong Liu, Changhe Li, Sanyou Zeng
2007	—	`ed.`	Advances in Computation and Intelligence, Second International Symposium, ISICA 2007, Wuhan, China, September 21-23, 2007, Proceedings ISICA Lishan Kang, Yong Liu, Sanyou Zeng
2007	C	`conf`	Evolutionary Programming with Operator Adaptation. CIT Yong Liu
2007	—	`ed.`	Evolvable Systems: From Biology to Hardware, 7th International Conference, ICES 2007, Wuhan, China, September 21-23, 2007, Proceedings ICES Lishan Kang, Yong Liu, Sanyou Zeng
2007	—	`conf`	Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation. ISICA Qing Zhang, Changhe Li, Yong Liu, Lishan Kang
2007	—	`ch.`	How to Generate Different Neural Networks. Trends in Neural Computation Yong Liu
2007	—	`conf`	Operator Adaptation in Evolutionary Programming. ISICA Yong Liu
2007	B	`conf`	Opposition-based particle swarm algorithm with cauchy mutation. IEEE Congress on Evolutionary Computation Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng
2007	—	`conf`	Re-diversification Based Particle Swarm Algorithm with Cauchy Mutation. ISICA Hui Wang, Sanyou Zeng, Yong Liu, Wenjun Wang, Hui Shi, Gang Liu
2006	—	`conf`	An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design. AHS Rui Liu, Sanyou Zeng, Lixin Ding, Lishan Kang, Hui Li, Yuping Chen, Yong Liu, Yueping Han
2006	B	`conf`	Create Stable Neural Networks by Cross-Validation. IJCNN Yong Liu
2006	J	`jnl`	Current developments and future directions of bio-inspired computation and implications for ecoinformatics. Ecol. Informatics Xin Yao, Yong Liu, Jin Li, Jun He, Colin Frayn
2006	—	`book`	Evolvable Hardware Tetsuya Higuchi, Yong Liu, Xin Yao
2006	B	`conf`	Evolving Neural Network Ensembles by Fitness Sharing. IEEE Congress on Evolutionary Computation Yong Liu, Xin Yao
2006	—	`conf`	How to Stop the Evolutionary Process in Evolving Neural Network Ensembles. ICNC (1) Yong Liu
2006	—	`ch.`	Introduction to Evolvable Hardware. Evolvable Hardware Tetsuya Higuchi, Yong Liu, Masaya Iwata, Xin Yao
2006	—	`conf`	Make Fast Evolutionary Programming Robust by Search Step Control. ICNC (1) Yong Liu, Xin Yao
2005	C	`conf`	An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. EMO Sanyou Zeng, Shuzhen Yao, Lishan Kang, Yong Liu
2005	—	`conf`	Generate Different Neural Networks by Negative Correlation Learning. ICNC (1) Yong Liu
2005	B	`conf`	How to find different neural networks by negative correlation learning. IJCNN Yong Liu
2005	J	`jnl`	Incremental Learning with the Neural Network Trees. Neural Parallel Sci. Comput. Takaharu Takeda, Qiangfu Zhao, Yong Liu
2004	C	`conf`	A Hybrid Neural Network Learning System. CIT Yong Liu
2004	J	`jnl`	Evolving Neural Network Ensembles by Minimization of Mutual Information. Int. J. Hybrid Intell. Syst. Xin Yao, Yong Liu
2003	B	`conf`	A study on on-line learning of NNTrees. IJCNN Takeda Takaharu, Qiangfu Zhao, Yong Liu
2003	—	`conf`	Optimisation and Learning in Neural Network Learning. Modelling, Simulation, and Optimization Yong Liu, Xin Yao
2002	—	`conf`	Getting Most Out of Evolutionary Approaches. Evolvable Hardware Xin Yao, Yong Liu
2002	B	`conf`	How to control search step size in fast evolutionary programming. IEEE Congress on Evolutionary Computation Yong Liu, Xin Yao
2002	A	`conf`	Learning and Evolution by Minimization of Mutual Information. PPSN Yong Liu, Xin Yao
2002	A	`conf`	Maintaining Population Diversity By Minimizing Mutual Information. GECCO Yong Liu, Xin Yao
2002	A	`conf`	Search Step Size Control In Fast Evolutionary Programming. GECCO Yong Liu, Xin Yao
2001	—	`ed.`	Evolvable Systems: From Biology to Hardware, 4th International Conference, ICES 2001 Tokyo, Japan, October 3-5, 2001, Proceedings ICES Yong Liu, Kiyoshi Tanaka, Masaya Iwata, Tetsuya Higuchi, Moritoshi Yasunaga
2001	B	`conf`	Evolving a cooperative population of neural networks by minimizing mutual information. CEC Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
2001	B	`conf`	Evolving neural networks for Hang Seng stock index forecast. CEC Yong Liu, Xin Yao
2001	—	`conf`	Implementation of a Gate-Level Evolvable Hardware Chip. ICES Masaya Iwata, Isamu Kajitani, Yong Liu, Nobuki Kajihara, Tetsuya Higuchi
2001	B	`conf`	Scaling up fast evolutionary programming with cooperative coevolution. CEC Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi
2000	A	`conf`	An Integrated On-Line Learning System for Evolving Programmable Logic Array Controllers. PPSN Yong Liu, Masaya Iwata, Tetsuya Higuchi, Didier Keymeulen
2000	J	`jnl`	Evolutionary ensembles with negative correlation learning. IEEE Trans. Evol. Comput. Yong Liu, Xin Yao, Tetsuya Higuchi
1999	J	`jnl`	Ensemble learning via negative correlation. Neural Networks Yong Liu, Xin Yao
1999	J	`jnl`	Evolutionary programming made faster. IEEE Trans. Evol. Comput. Xin Yao, Yong Liu, Guangming Lin
1999	J	`jnl`	Negatively correlated neural networks for classification. Artif. Life Robotics Yong Liu, Xin Yao
1999	B	`conf`	Neural networks for breast cancer diagnosis. CEC Xin Yao, Yong Liu
1999	J	`jnl`	Simultaneous training of negatively correlated neural networks in an ensemble. IEEE Trans. Syst. Man Cybern. Part B Yong Liu, Xin Yao
1998	—	`conf`	An Experimental Investigation of Self-Adaptation in Evolutionary Programming. Evolutionary Programming Ko-Hsin Liang, Xin Yao, Yong Liu, Charles S. Newton, David Hoffman
1998	J	`jnl`	Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man Cybern. Part B Xin Yao, Yong Liu
1998	—	`conf`	Scaling Up Evolutionary Programming Algorithms. Evolutionary Programming Xin Yao, Yong Liu
1998	—	`conf`	Time Series Prediction by Using Negatively Correlated Neural Networks. SEAL Yong Liu, Xin Yao
1998	A	`conf`	Towards Designing Neural Network Ensembles by Evolution. PPSN Yong Liu, Xin Yao
1997	J	`jnl`	A new evolutionary system for evolving artificial neural networks. IEEE Trans. Neural Networks Xin Yao, Yong Liu
1997	—	`conf`	An Analysis of Evolutionary Algorithms Based on Neighborhood and Step Sizes. Evolutionary Programming Xin Yao, Guangming Lin, Yong Liu
1997	—	`conf`	Fast Evolution Strategies. Evolutionary Programming Xin Yao, Yong Liu
1996	—	`conf`	EPNet for Chaotic Time-Series Prediction. SEAL Xin Yao, Yong Liu
1996	—	`conf`	Ensemble Structure of Evolutionary Artificial Neural Networks. International Conference on Evolutionary Computation Xin Yao, Yong Liu
1996	—	`conf`	Evolutionary Design of Artificial Neural Networks with Different Nodes. International Conference on Evolutionary Computation Yong Liu, Xin Yao
1996	—	`conf`	Evolving Artificial Neural Networks through Evolutionary Programming. Evolutionary Programming Xin Yao, Yong Liu
1996	—	`conf`	Fast Evolutionary Programming. Evolutionary Programming Xin Yao, Yong Liu
1995	J	`jnl`	The Annealing Evolution Algorithm as Function Optimizer. Parallel Comput. Yong Liu, Lishan Kang, David J. Evans
1994	—	`conf`	An Evolutionary Approach to Adaptive Model-Building. Evo Workshops Zhengjun Pan, Lishan Kang, Jun He, Yong Liu
1994	J	`jnl`	The Annealing Evolution Algorithm. Parallel Algorithms Appl. Yong Liu, Lishan Kang, David J. Evans